Upload 2026-01-08/runs/26363-20818166407/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub

2026-01-08/runs/26363-20818166407/ci_results_run_models_gpu/model_results_extra.json

@@ -0,0 +1,14 @@
+{
+    "models_bit": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/20818166407/job/59799581641#step:16:1",
+                "captured_info": "test:\n\ntests/models/bit/test_modeling_bit.py::BitModelTest::test_batching_equivalence\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/test_modeling_common.py:1503\n\n                recursive_check(model_batched_output[key], model_row_output[key], model_name, key)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/test_modeling_common.py:1461\n\n                    torch.testing.assert_close(batched_row, single_row_object, atol=atol, rtol=rtol)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `batched_row`\n\nargument value:\n\n[\n    [\n        [[0.0158]],\n        [[0.0048]],\n        [[0.0199]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0039]],\n        [[0.]],\n        [[0.0272]],\n        [[0.0060]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0006]],\n        [[0.]],\n        [[0.0364]],\n        [[0.]],\n        [[0.]],\n        [[0.0165]],\n        [[0.]],\n        [[0.0373]],\n        [[0.]],\n        [[0.0153]],\n        [[0.0213]],\n        [[0.0462]],\n        [[0.0047]],\n        [[0.]],\n        [[0.0207]],\n        [[0.0339]],\n        [[0.0432]],\n        [[0.]],\n        [[0.0124]],\n        [[0.]],\n        [[0.]],\n        [[0.0060]],\n        [[0.]],\n        [[0.0126]],\n        [[0.0435]],\n        [[0.0358]],\n        [[0.]],\n        [[0.0481]],\n        [[0.0548]],\n        [[0.0513]],\n        [[0.0045]],\n        [[0.0311]],\n        [[0.]],\n        [[0.]],\n        [[0.0022]],\n        [[0.]],\n        [[0.0091]],\n        [[0.]],\n        [[0.0245]],\n        [[0.0402]],\n        [[0.0350]],\n        [[0.]],\n        [[0.]],\n        [[0.0514]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0112]],\n        [[0.0031]],\n        [[0.0313]],\n    ],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `single_row_object`\n\nargument value:\n\n[\n    [\n        [[0.0158]],\n        [[0.0048]],\n        [[0.0199]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0038]],\n        [[0.]],\n        [[0.0272]],\n        [[0.0060]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0006]],\n        [[0.]],\n        [[0.0364]],\n        [[0.]],\n        [[0.]],\n        [[0.0165]],\n        [[0.]],\n        [[0.0372]],\n        [[0.]],\n        [[0.0153]],\n        [[0.0213]],\n        [[0.0462]],\n        [[0.0047]],\n        [[0.]],\n        [[0.0208]],\n        [[0.0339]],\n        [[0.0432]],\n        [[0.]],\n        [[0.0124]],\n        [[0.]],\n        [[0.]],\n        [[0.0060]],\n        [[0.]],\n        [[0.0126]],\n        [[0.0435]],\n        [[0.0358]],\n        [[0.]],\n        [[0.0481]],\n        [[0.0548]],\n        [[0.0513]],\n        [[0.0045]],\n        [[0.0311]],\n        [[0.]],\n        [[0.]],\n        [[0.0022]],\n        [[0.]],\n        [[0.0091]],\n        [[0.]],\n        [[0.0245]],\n        [[0.0402]],\n        [[0.0349]],\n        [[0.]],\n        [[0.]],\n        [[0.0514]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0112]],\n        [[0.0031]],\n        [[0.0313]],\n    ],\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/bit/test_modeling_bit.py::BitModelIntegrationTest::test_inference_image_classification_head\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/bit/test_modeling_bit.py:280\n\n        torch.testing.assert_close(outputs.logits[:, :3], expected_slice, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/bit/test_modeling_bit.py:280\n\n        torch.testing.assert_close(outputs.logits[:, :3], expected_slice, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs.logits[:, :3]`\n\nargument value:\n\n[[-0.6521, -0.5260, -1.4402]]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_slice`\n\nargument value:\n\n[[-0.6526, -0.5263, -1.4398]]\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/20818166407/job/59799581637#step:16:1",
+                "captured_info": "test:\n\ntests/models/bit/test_modeling_bit.py::BitModelTest::test_batching_equivalence\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/test_modeling_common.py:1503\n\n                recursive_check(model_batched_output[key], model_row_output[key], model_name, key)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/test_modeling_common.py:1461\n\n                    torch.testing.assert_close(batched_row, single_row_object, atol=atol, rtol=rtol)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `batched_row`\n\nargument value:\n\n[\n    [\n        [[0.]],\n        [[0.]],\n        [[0.0153]],\n        [[0.]],\n        [[0.0077]],\n        [[0.]],\n        [[0.]],\n        [[0.0117]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0141]],\n        [[0.0140]],\n        [[0.]],\n        [[0.0023]],\n        [[0.0111]],\n        [[0.]],\n        [[0.]],\n        [[0.0289]],\n        [[0.0308]],\n        [[0.0408]],\n        [[0.0046]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0141]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0218]],\n        [[0.0328]],\n        [[0.]],\n        [[0.0165]],\n        [[0.]],\n        [[0.0156]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0191]],\n        [[0.0288]],\n        [[0.]],\n        [[0.0182]],\n        [[0.]],\n        [[0.0106]],\n        [[0.]],\n        [[0.]],\n        [[0.0667]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0369]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0203]],\n        [[0.0065]],\n        [[0.0136]],\n    ],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `single_row_object`\n\nargument value:\n\n[\n    [\n        [[0.]],\n        [[0.]],\n        [[0.0153]],\n        [[0.]],\n        [[0.0077]],\n        [[0.]],\n        [[0.]],\n        [[0.0116]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0140]],\n        [[0.0140]],\n        [[0.]],\n        [[0.0023]],\n        [[0.0111]],\n        [[0.]],\n        [[0.]],\n        [[0.0289]],\n        [[0.0308]],\n        [[0.0408]],\n        [[0.0046]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0141]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0218]],\n        [[0.0328]],\n        [[0.]],\n        [[0.0165]],\n        [[0.]],\n        [[0.0155]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0191]],\n        [[0.0288]],\n        [[0.]],\n        [[0.0182]],\n        [[0.]],\n        [[0.0106]],\n        [[0.]],\n        [[0.]],\n        [[0.0667]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0369]],\n        [[0.]],\n        [[0.]],\n        [[0.]],\n        [[0.0202]],\n        [[0.0065]],\n        [[0.0136]],\n    ],\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/bit/test_modeling_bit.py::BitModelIntegrationTest::test_inference_image_classification_head\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/bit/test_modeling_bit.py:280\n\n        torch.testing.assert_close(outputs.logits[:, :3], expected_slice, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/bit/test_modeling_bit.py:280\n\n        torch.testing.assert_close(outputs.logits[:, :3], expected_slice, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs.logits[:, :3]`\n\nargument value:\n\n[[-0.6521, -0.5260, -1.4402]]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_slice`\n\nargument value:\n\n[[-0.6526, -0.5263, -1.4398]]\n\n========================================================================================================================\n\n"
+            }
+        }
+    }
+}